Analysis of Patterns of Gene Expression Variation within and between Ethnic Populations in Pediatric B-ALL. (January 2013)
- Record Type:
- Journal Article
- Title:
- Analysis of Patterns of Gene Expression Variation within and between Ethnic Populations in Pediatric B-ALL. (January 2013)
- Main Title:
- Analysis of Patterns of Gene Expression Variation within and between Ethnic Populations in Pediatric B-ALL
- Authors:
- Hicks, Chindo
Miele, Lucio
Koganti, Tejaswi
Young-Gaylor, LaFarra
Rogers, Deidre
Vijayakumar, Vani
Megason, Gail - Abstract:
- B-Precursor acute lymphoblastic leukemia (B-ALL) is the most common childhood cancer. Although 80% of B-ALL patients are able to be cured, significant challenges persist. Significant disparities in clinical outcomes and mortality rates exist between racial/ ethnic populations. The objective of this study was to determine whether gene expression levels significantly differ between ethnic populations. We compared gene expression levels between four ethnic populations (Whites, Blacks, Hispanics, and Asians) in the United States. Additionally, we performed network and pathway analysis to identify gene networks and pathways. Gene expression data involved 198 samples distributed as follows: 126 Whites, 51 Hispanics, 13 Blacks, and 8 Asians. We identified 300 highly significantly ( P < 0.001) differentially expressed genes between the four ethnic populations. Among the identified genes included the genes PHF6, BRD3, CRLF2, and RNF135 which have been implicated in pediatric B-ALL. We identified key pathways implicated in B-ALL including the PDGF, PI3/AKT, ERBB2-ERBB3, and IL-15 signaling pathways.
- Is Part Of:
- Cancer informatics. Volume 12(2013)
- Journal:
- Cancer informatics
- Issue:
- Volume 12(2013)
- Issue Display:
- Volume 12, Issue 2013 (2013)
- Year:
- 2013
- Volume:
- 12
- Issue:
- 2013
- Issue Sort Value:
- 2013-0012-2013-0000
- Page Start:
- Page End:
- Publication Date:
- 2013-01
- Subjects:
- leukemia gene expression variation pediatric B-ALL
Bioinformatics -- Periodicals
Biology -- Data processing -- Periodicals
Cancer -- Periodicals
Cancer -- Research -- Periodicals
Computational biology -- Periodicals
570.285 - Journal URLs:
- http://insights.sagepub.com/journal.php?journal_id=10&tab=volume ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.4137/CIN.S11831 ↗
- Languages:
- English
- ISSNs:
- 1176-9351
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23618.xml